An AI-enabled Agent-Based Model and Its Application in Measles Outbreak Simulation for New Zealand

arXiv:2403.03434v1 Announce Type: cross
Abstract: Agent Based Models (ABMs) have emerged as a powerful tool for investigating complex social interactions, particularly in the context of public health and infectious disease investigation. In an effort to enhance the conventional ABM, enabling automated model calibration and reducing the computational resources needed for scaling up the model, we have developed a tensorized and differentiable agent-based model by coupling Graph Neural Network (GNN) and Long Short-Term Memory (LSTM) network. The model was employed to …

abstract agent application arxiv automated context cs.cy cs.lg cs.ma disease enabling health infectious disease interactions investigation new zealand outbreak public public health simulation social tool type